Serum tumor markers level and their predictive values for solid and micropapillary components in lung adenocarcinoma.
Sign Up to like & getrecommendations! Published in 2022 at "Cancer medicine"
DOI: 10.1002/cam4.4645
Abstract: BACKGROUND This study aims to reveal the serum tumor marker (STM) levels in lung adenocarcinoma (LUAD) histological subtypes and evaluate their values in predicting the solid and micropapillary components (SMC). METHODS We retrospectively analyzed 3100… read more here.
Keywords: tumor; training set; cea; validation set ... See more keywords
Predictive Models for HOMO and LUMO Energies of N‐Donor Heterocycles as Ligands for Lanthanides Separation
Sign Up to like & getrecommendations! Published in 2018 at "Molecular Informatics"
DOI: 10.1002/minf.201800025
Abstract: Quantum chemical calculations combined with QSPR methodology reveal challenging perspectives for the solution of a number of fundamental and applied problems. In this work, we performed the PM7 and DFT calculations and QSPR modeling of… read more here.
Keywords: lumo energies; donor heterocycles; training set; separation ... See more keywords
A multicenter study on the preoperative prediction of gastric cancer microsatellite instability status based on computed tomography radiomics
Sign Up to like & getrecommendations! Published in 2022 at "Abdominal Radiology"
DOI: 10.1007/s00261-022-03507-3
Abstract: To construct and validate a radiomics feature model based on computed tomography (CT) images and clinical characteristics to predict the microsatellite instability (MSI) status of gastric cancer patients before surgery. We retrospectively collected the upper… read more here.
Keywords: status; training set; cancer; gastric cancer ... See more keywords
Predicting death or recurrence of portal hypertension symptoms after TIPS procedures.
Sign Up to like & getrecommendations! Published in 2022 at "European radiology"
DOI: 10.1007/s00330-021-08437-0
Abstract: BACKGROUND Accurate prediction of portal hypertension recurrence after transjugular intrahepatic portosystemic shunt (TIPS) placement will improve clinical decision-making. PURPOSE To evaluate if perioperative variables could predict disease-free survival (DFS) in cirrhotic patients with portal hypertension… read more here.
Keywords: scoring system; tips dep; recurrence; portal hypertension ... See more keywords
Regularising LSTM classifier by transfer learning for detecting misogynistic tweets with small training set
Sign Up to like & getrecommendations! Published in 2020 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-020-01481-0
Abstract: Supervised machine learning methods depend highly on the quality of the training dataset and the underlying model. In particular, neural network models, that have shown great success in dealing with natural language problems, require a… read more here.
Keywords: transfer learning; small training; training set; training ... See more keywords
A fast single-image super-resolution method implemented with CUDA
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Real-Time Image Processing"
DOI: 10.1007/s11554-018-0774-z
Abstract: Image super-resolution (SR) plays an important role in many areas as it promises to generate high-resolution (HR) images without upgrading image sensors. Many existing SR methods require a large external training set, which would consume… read more here.
Keywords: resolution; image; training set; super resolution ... See more keywords
Classification criteria for serpiginous choroiditis.
Sign Up to like & getrecommendations! Published in 2021 at "American journal of ophthalmology"
DOI: 10.1016/j.ajo.2021.03.038
Abstract: PURPOSE To determine classification criteria for serpiginous choroiditis. DESIGN Machine learning of cases with serpiginous choroiditis and 8 other posterior uveitides. METHODS Cases of posterior uveitides were collected in an informatics-designed preliminary database, and a… read more here.
Keywords: criteria serpiginous; choroiditis; classification criteria; serpiginous choroiditis ... See more keywords
Classification criteria for pars planitis.
Sign Up to like & getrecommendations! Published in 2021 at "American journal of ophthalmology"
DOI: 10.1016/j.ajo.2021.03.045
Abstract: PURPOSE To determine classification criteria for pars planitis DESIGN: Machine learning of cases with pars planitis and 4 other intermediate uveitides. METHODS Cases of intermediate uveitides were collected in an informatics-designed preliminary database, and a… read more here.
Keywords: criteria pars; classification criteria; training set; validation set ... See more keywords
Classification criteria for punctate inner choroiditis.
Sign Up to like & getrecommendations! Published in 2021 at "American journal of ophthalmology"
DOI: 10.1016/j.ajo.2021.03.046
Abstract: PURPOSE To determine classification criteria for punctate inner choroiditis (PIC). DESIGN Machine learning of cases with PIC and 8 other posterior uveitides. METHODS Cases of posterior uveitides were collected in an informatics-designed preliminary database, and… read more here.
Keywords: classification criteria; inner choroiditis; training set; criteria punctate ... See more keywords
Classification criteria for Fuchs uveitis syndrome.
Sign Up to like & getrecommendations! Published in 2021 at "American journal of ophthalmology"
DOI: 10.1016/j.ajo.2021.03.052
Abstract: PURPOSE To determine classification criteria for Fuchs uveitis syndrome. DESIGN Machine learning of cases with Fuchs uveitis syndrome and 8 other anterior uveitides. METHODS Cases of anterior uveitides were collected in an informatics-designed preliminary database,… read more here.
Keywords: criteria fuchs; anterior uveitides; training set; validation set ... See more keywords
A subregion division based multi-objective evolutionary algorithm for SVM training set selection
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.02.028
Abstract: Abstract Support vector machine (SVM) is a popular machine learning method with a solid theoretical foundation, and has shown promising performance on different classification problems. However, it suffers from an expensive training cost, which makes… read more here.
Keywords: set selection; training set; subregion; training ... See more keywords